Ch 3 - LSRL Review

Other things being equal, larger automobile engines are less fuel-efficient. You are planning an experiment to study the effect of engine size (in liters) on the fuel efficiency (in miles per gallon) of sport utility vehicles. In this study,

• gas mileage is a response variable, and you expect to find a negative association.

• gas mileage is a response variable, and you expect to find a positive association.

• gas mileage is an explanatory variable, and you expect to find a strong negative association.

• gas mileage is an explanatory variable, and you expect to find a strong positive association.

• gas mileage is an explanatory variable, and you expect to find very little association.

Tags

CCSS.HSS.ID.B.6B

In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation was yˆ =10+0.9x where y is the final-exam score and x is the score on the first test. Carla scored 95 on the first test. What is the predicted value of her score on the final exam?

• 85.5

• 90

• 9

• 95.5

• none of these

In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation was yˆ =10+0.9x where y is the final-exam score and x is the score on the first test. Bill scored a 90 on the first test and a 93 on the final exam. What is the value of his residual?

• –2.0

• 2.0

• 3.0

• 93

• none of these

Tags

CCSS.HSS.ID.B.6B

A least-squares regression line for predicting weights of basketball players on the basis of their heights produced the residual plot below. What does the residual plot tell you about the linear model?

• A residual plot is not an appropriate means for evaluating a linear model.

• The curved pattern in the residual plot suggests that there is no association between the weight and height of basketball players.

• The curved pattern in the residual plot suggests that the linear model is not appropriate.

• There are not enough data points to draw any conclusions from the residual plot.

• The linear model is appropriate, because there are approximately the same number of points above and below the horizontal line in the residual plot.

Tags

CCSS.HSS.ID.B.6B

One concern about the depletion of the ozone layer is that the increase in ultraviolet (UV) light will decrease crop yields. An experiment was conducted in a green house where soybean plants were exposed to varying levels of UV, measured in Dobson units. At the end of the experiment the yield (kg) was measured. A regression analysis was performed with the following results: The least-squares regression line is the line that

• minimizes the sum of the distances between the actual UV values and the predicted UV values.

• minimizes the sum of the squared residuals between the actual yield and the predicted yield.

• minimizes the sum of the distances between the actual yield and the predicted UV.

• minimizes the sum of the squared residuals between the actual UV reading and the predicted UV values.

• minimizes the perpendicular distance between the regression line and each data point.

Tags

CCSS.8.SP.A.2

3)

• A
• B
• C
• D

Tags

CCSS.8.EE.C.8C

The scatter plot in the figure below shows the GPA of the students of a class versus their commute time. Which of the following statements is true?

• The relationship between GPA and commute time is moderate positive linear.
• The relationship between GPA and commute time is moderate negative linear.
• The scatter plot does not have any outliers.

Tags

CCSS.HSS.ID.B.5

What type of correlation describes the following sentence:
The temperature outside and the number of hot chocolate sold at a football game.

• positive
• negative 
• no

Tags

CCSS.HSS.ID.B.5

What should a residual plot look like?

• Distinct Pattern
• Curve
• Random with no pattern
• A few clumps

Tags

CCSS.HSS.ID.B.6B

How do you calculate a residual?

• Observed - Predicted
• Predicted - Observed

Tags

CCSS.HSS.ID.B.6B